Book Image

Quantum Computing with Silq Programming

By : Srinjoy Ganguly, Thomas Cambier
Book Image

Quantum Computing with Silq Programming

By: Srinjoy Ganguly, Thomas Cambier

Overview of this book

Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code. This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. You’ll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you’ll also gain practical experience in useful applications such as quantum error correction, cryptography, and quantum machine learning. Finally, you’ll discover how to optimize the programming of quantum computers with the simple Silq. By the end of this Silq book, you’ll have mastered the features of Silq and be able to build efficient quantum applications independently.
Table of Contents (19 chapters)
1
Section 1: Essential Background and Introduction to Quantum Computing
6
Section 2: Challenges in Quantum Programming and Silq Programming
10
Section 3: Quantum Algorithms Using Silq Programming
14
Section 4: Applications of Quantum Computing

Chapter 11: Quantum Error Correction

Most of the data storage and communication systems we use can be represented as models where information travels from a sender to a receiver. While information is being transmitted through a channel, it may suffer from interference arising from the imperfections of the communication medium. While already crucial in classical systems, in quantum ones, it is essential that we design such corrective code because qubits can easily get corrupted by noise, either during storage or transmission. Entangled states, for example, are inherently fragile as a single qubit decoherence is enough to make the whole system collapse.

Even though quantum error correction cannot imitate its classical counterpart directly, the processes share many concepts, and knowing about the classical techniques is more than useful for understanding the quantum ones.

In this chapter, we are going to cover the following main topics:

  • Introducing classical error correction...